An R package for selecting variables in regression models
Machine Learning & optimization
An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.
Esercizi e piccoli Progetti di applicazione all'Intelligenza Artificiale utilizzando GraphLab Create e Python
Regression and Classification task with sklearn.
Machine Learning Models
Deep Learning Projects Using Keras & Scikit-Learn
Analyzing a huge dataset taken by the Department of Education, utilzing both SAS, and MS Excel (https://catalog.data.gov/dataset/college-scorecard)
1st Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
Predictive Modeling Part 1: Home Prices in Philadelphia
This is a binary classification problem excerpted from Kaggle competitions that explains why Leonardo DiCaprio had a high probability of dying in the movie TITANIC.
This repository is using simple cucumber js reporting with selenium chrome webdriver with working example to capture screenshot, full page screenshot, and visual screen image comparison .
Analyze A/B Test Results - Udacity Data Analyst Nanodegree Project
This repo contains all my implementations of Machine Learning Models.
Housing price prediction model using Ridge and Lasso Regression.
A python class to generate simple LaTeX regression tables
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